Guru Parulkar

13.8k citations
53 papers · 10.4k indexed · 4 hit papers · h-index 30

Impact in

Papers in

Guru Parulkar

52 papers receiving 9.9k citations

Hit Papers

ONOS 2014 · 841 citations
84120082026201420202.0k4.0k6.0k

Peers

Guru Parulkar
Comparison fields: 5 of 74
  • Computer Networks and Communications 10.1k
  • Hardware and Architecture 847
  • Information Systems 1.9k
  • Electrical and Electronic Engineering 3.5k
  • Artificial Intelligence 1.2k
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Guru Parulkar relative to Tom Anderson United States Tom Anderson's profile →
Citations per field
00.5×1.5×
Tom Anderson · 1×
Citations per year

Countries citing papers authored by Guru Parulkar

Since Specialization
Citations

This map shows the geographic impact of Guru Parulkar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guru Parulkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guru Parulkar more than expected).

Fields of papers citing papers by Guru Parulkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guru Parulkar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guru Parulkar. The network helps show where Guru Parulkar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Guru Parulkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guru Parulkar Line = papers co-authored together Guru Parulkar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201943
2 201622
3 201325
4 201211
5 20127
6 201282
7 2011116
8 20113
9 2011101
10
Proceedings of the second ACM SIGCOMM workshop on Virtualized infrastructure systems and architectures
20101
11
The case for RAMClouds
Hit paper breakdown →
2010334
12 2010126
13 200938
14 199841
15
Project mars: scalable, high performance, web based multimedia-on-demand (mod) services and servers
199810
16 199552
17 19954
18 199514
19 199426
20 19913

About Guru Parulkar

Guru Parulkar is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Biophysics and Information Systems, having authored 53 papers that have together received 10.4k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (29 papers), Network Traffic and Congestion Control (16 papers), Advanced Optical Network Technologies (14 papers), Caching and Content Delivery (13 papers), Interconnection Networks and Systems (9 papers), Cloud Computing and Resource Management (7 papers), Advanced Photonic Communication Systems (6 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (10.1k citations), Hardware and Architecture (847 citations), Information Systems (1.9k citations), Electrical and Electronic Engineering (3.5k citations) and Artificial Intelligence (1.2k citations). Guru Parulkar has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Nick McKeown, Jonathan Turner, Jennifer Rexford, Larry Peterson, Hari Balakrishnan, Tom Anderson, Scott Shenker, Kok-Kiong Yap, Rob Sherwood and Guido Appenzeller. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Communications of the ACM, Computer Networks, ACM Transactions on Computer Systems and Journal of Optical Communications and Networking.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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